data-governance
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Mario Carvajal Has Spent 17 Years Turning Technical Detail Into Corporate Direction
He arrived at AvePoint through engineering and stayed long enough to help explain its next era. Now Mario Carvajal works where product architecture, corporate strategy and the public story meet.
Chirag Dhull Has Spent a Career Making the Complicated Clear
From Azure Machine Learning to blockchain oracles and governed AI, Collibra's CMO has built a career around a deceptively hard skill: explaining new infrastructure before the market has settled on the words.
Elizabeth Abrams Sells the Least Fashionable Thing in AI: Proof
The Greenwich-based fractional CMO has built a career around a stubborn corporate problem: getting people to trust, understand, and actually use new systems. At Sequentum, that assignment has become a message for the AI era - evidence before enchantment.
Anahita Poonegar Makes Trust Legible
A Cornell-trained planner became the translator, marketer, and operator behind Intertrust's shift from digital rights to data governance - while building its India business from the ground up.
Ivan Latanision’s Quiet Bet: AI Needs Better Plumbing
After three decades of turning scattered systems into usable platforms, Ivan Latanision has reached a wonderfully unfashionable conclusion about artificial intelligence: the cleverest model in the room is only as useful as the data beneath it.
Himanshu Shukla Is Teaching Enterprise Data to Introduce Itself
After two decades building infrastructure, the Lightbeam co-founder made a human bet on enterprise security: every scattered byte matters because it belongs to someone.
Aashish Singhvi Is Teaching Networks to Fix Trouble Before the Phone Rings
The DvSum founder has spent a career chasing the expensive gap between a signal and a decision. His latest bet is that telecom networks should learn to diagnose, act, and improve before a subscriber ever reaches for the phone.
Karthik Ramamurthy Is Making the File System Interesting Again
After two decades spent deep in storage, product and transformation work, Panzura's CEO is betting that the least glamorous layer of enterprise technology may become AI's most important one.
Luca Martial Is Teaching AI Agents to Ask What the Numbers Mean
Before Luca Martial built a context layer for data agents, he studied bodies, cities, clinical language, and model failure. The through-line is less about AI than about making complicated systems answerable to people.
Nicholas Stamos Has Spent a Career Teaching Sensitive Files Some Manners
From clinical-trial software to Digital Guardian to eSHARE, the Tufts-trained engineer keeps returning to one stubborn question: how can important information move without slipping out of its owner’s control?
Vasu Sattenapalli Is Turning Data Trust Into a Product
After years inside enterprise data systems, the RightData co-founder arrived at a plain conclusion: a dashboard is only useful when people believe the number. Now he is building the controls that turn corporate data from a hopeful guess into something teams can use.
Maarten Masschelein Is Making Bad Data Someone’s Job
The Soda co-founder has spent his career turning silent data failures into visible, shared work. His method is less about dashboards than about focus, accountability, and giving every data user a seat at the table.
Ron Rock Keeps Taking the Machine Apart
From midnight eggs at Denny’s to sensor networks in airports and factories, the Microshare co-founder has spent four decades making complicated systems useful - usually by opening them up first.
Philip Dutton Drew a Map of the Data Nobody Wanted to Explain
Before AI could explain itself, someone had to explain the data beneath it. Philip Dutton spent two decades turning institutional spaghetti into a map people can question, test and trust.
Kyle DuPont and the Corporate Mess Hiding in Plain Sight
The Ohalo co-founder left institutional finance with a taste for difficult systems. His company now turns contracts, archives, and forgotten folders into data that enterprises can actually understand.
Daniel Barber Is Turning Privacy Into an Operating System
After years selling software built on customer data, Daniel Barber began asking a harder question: could a company map what it collects, honor what people ask, and make trust part of the machinery? DataGrail is his answer - and AI has made the question more urgent.
Chitrang Shah Is Building for the Work Between the Cells
After two decades inside enterprise data products, the Savant Labs founder is betting that AI earns its place at work through repeatability, governance, and fewer wasted hours - not a clever demo.
Bruno Kurtic Is Building the Missing Map for Enterprise AI
After helping take Sumo Logic from inception to the public markets, Bruno Kurtic spent a year asking what enterprise software still had not solved. His answer was hiding in plain sight: companies cannot govern AI until they understand the data beneath it.
Suresh Srinivas
Suresh Srinivas is the Co-Founder and CEO of Collate and the creator of OpenMetadata, an open-source data intelligence platform. A longtime figure in the big-data world, he was an early Apache Hadoop developer and HDFS committer at Yahoo, co-founded Hortonworks, and served as Chief Architect for data at Uber before building Collate to help enterprises make their data usable, trustworthy, and well-governed.
Vinay Samuel
Vinay Samuel is the founder and CEO of Zetaris, a data virtualization and analytical data fabric company he started in a Melbourne garage in 2013 after walking away from a million-dollar executive contract. A first-generation Australian and self-taught programmer since age 14, he spent two decades in senior roles at Teradata, Greenplum, Vertica and Hewlett-Packard before building technology that lets enterprises query data wherever it lives, without first moving it into a data lake. Zetaris has raised roughly $30 million from investors including In-Q-Tel, works with customers such as Telstra, NBN, Optus, Nokia and Melbourne Water, and now positions its platform to prepare data for AI faster and at lower cost.
Jeffrey Nicholson
Jeffrey Nicholson is the CEO and co-founder of Tracer, a New York-based data intelligence platform that turns fragmented, siloed marketing and business data into unified real-time insight. He built Tracer with CTO Leighton Welch inside VaynerMedia, where he served as the agency's first Chief Media Officer and grew the media department to roughly 250 people worldwide alongside Gary Vaynerchuk. A Babson-trained entrepreneur with more than 15 years across advertising, media, and technology, Nicholson went full-time as Tracer's CEO in January 2020 and has since raised a Series A round. He also founded the education venture NicholNotes and advises Roku, Pinterest, and Nextdoor.
Reed Overfelt
Reed Overfelt is the Chief Executive Officer of Black Tiger, an AI-powered master data management and governance platform. He is a career enterprise-software operator with roots at Microsoft, later leading growth at Aurea Software, running Redwood Software as Group CEO, and steering ventures including FEV Tutor and GAN Integrity. He argues, publicly and often, that master data is the foundation of enterprise AI.
Brad Schneider
Brad Schneider is the founder and CEO of Nomad Data, a New York based AI platform that helps teams find, buy, and read the data hidden inside documents and external vendors. An MIT-trained engineer turned hedge fund investor (Tiger Management, Jericho Capital) and CFA charterholder, he spent a decade using alternative data to beat markets before deciding the harder problem was simply finding the right data in the first place. Nomad Data lets users describe what they need in plain English and routes them to answers, not raw spreadsheets, with products spanning data discovery, a Doc Chat engine for unstructured text, and vendor relationship management for consultancies, insurers, and asset managers.
Ravin Thambapillai
Ravin Thambapillai is the co-founder and CEO of Credal.ai, a New York security-first platform that lets large, regulated enterprises deploy AI agents without leaking the data those agents touch. A philosophy-politics-economics graduate from Oxford who taught himself to code into a job at Google, he spent seven years at Palantir building AI systems for banks, life-sciences firms, and public-health institutions before starting Credal in 2022, months ahead of the ChatGPT wave. Backed by Y Combinator and a $4.8M seed led by Spark Capital, Credal serves customers like MongoDB, Wise, Checkr, and the US government, processing over a million LLM queries a month.
Robert Huntsman
Robert Huntsman is the Chief Data Officer at iCapital, the platform that powers much of the world's alternative-investment marketplace. He runs the teams, technology, and governance that let the firm ingest, protect, and analyze data across private equity, hedge funds, and private credit. A Stanford-trained quantitative economist with CFA and FRM credentials, he previously ran a 150-plus-person data science group at Prudential Financial. His current obsession: pointing large language models at messy, unstructured fund documents so private markets can finally move at the speed of public ones.
Satyen Sangani
Satyen Sangani is the co-founder and CEO of Alation, the company that built the modern data catalog and turned an obscure metadata problem into a $1.7B category. A former Morgan Stanley analyst and decade-long Oracle executive turned founder, he hosts the Data Radicals podcast and argues, loudly, that data is power and the point of distributing it is to give that power away.
Angel Vina
Dr. Angel Vina is the Founder and CEO of Denodo Technologies, the global leader in data virtualization and data management platforms. A former academic who spent 25 years as a university professor at institutions including the Technical University of Madrid and the University of A Coruña - with postdoctoral research stints at UCLA and Stanford - Vina founded Denodo in Spain in 1999 after asking a deceptively simple question: how can we set data free? Today Denodo operates in 25 offices across 20 countries, has secured $336 million in Series B funding from TPG, and has been named a Gartner Leader in Data Integration Tools for five consecutive years. Vina's academic obsession with real-time distributed data systems became a commercial category - and a company that turned 25 in 2025.
Armon Petrossian
Armon Petrossian is the CEO and Co-Founder of Coalesce.io, a cloud-native data transformation platform built for the modern data stack. A first-generation Armenian-American from Portland, Oregon, he spent nearly a decade at WhereScape solving data warehouse challenges for Fortune 50 companies before co-founding Coalesce in 2020 with CTO Satish Jayanthi. Under his leadership, Coalesce has raised $81M+ in funding, achieved 4x year-over-year ARR growth, and grown to 140 employees, positioning itself as a leading ELT transformation platform for Snowflake, Databricks, and other cloud data platforms.
Balaji Ganesan
Balaji Ganesan is Co-Founder and CEO of Privacera (now Trust3 AI), the data security and AI governance platform built on top of Apache Ranger technology he co-created. A survivor of the Miracle on the Hudson, he co-founded XA Secure in 2013, which was acquired by Hortonworks and open-sourced as Apache Ranger — now deployed across thousands of enterprises globally. He launched Privacera in 2016 to extend that governance vision to multi-cloud environments, raised $67.3M in total funding, and counts Nike, Intuit, and Autodesk among his customers.
Prukalpa Sankar
Prukalpa Sankar is the co-founder and co-CEO of Atlan, a $750M-valued platform building the context layer for data and AI - used by Mastercard, JP Morgan, Zoom, Dropbox, and General Motors. Before Atlan, she co-founded SocialCops, which built India's National Data Platform and the UN's SDG tracker operating across 50+ countries. A TED Speaker, Forbes 30 Under 30, and Fortune 40 Under 40 honoree, Prukalpa has raised over $206M and turned a midnight brainstorm about broken streetlights into one of the fastest-growing data governance companies on the planet.